Data Analysis of Air Quality Monitoring Using an Arduino Uno-Based Device with an MQ-135 Sensor

Patricia Varel De Sanctis

doi:10.53842/8gnjq621

Authors

Patricia Varel De Sanctis College of Meteorology Climatology and Geophysics Author

DOI:

https://doi.org/10.53842/8gnjq621

Keywords:

Air Quality, Air Quality, Arduino Uno, Arduino Uno, MQ-135 Gas Sensor, MQ-135 Gas Sensor, Real-time Monitoring, Real-time Monitoring

Abstract

Air quality is a critical factor that affects human health and the environment. Declining air quality, especially in urban areas, often results from increased pollution caused by transportation, industrial, and domestic activities. A real-time air quality monitoring system based on microcontrollers, such as the Arduino Uno, can be an economical and easily implemented solution [1]. This study aims to design and develop an air quality monitoring device using the Arduino Uno and the MQ-135 gas sensor. The MQ-135 sensor can detect various harmful gases, including carbon dioxide (CO₂), ammonia (NH₃), and sulfur dioxide (SO₂), which are common indicators of air quality. Data from the sensor are collected by the Arduino and displayed on an LCD screen, while remote access is facilitated through a mobile application [2]. This device provides real-time air quality information, helping communities reduce exposure to harmful pollutants. According to the literature, microcontroller- based monitoring systems with gas sensors like the MQ- 135 have proven effective and accurate for detecting air pollution in various environments. This study demonstrates that an Arduino-based air quality monitoring device can offer a practical solution for local air pollution monitoring.

Author Biography

Patricia Varel De Sanctis, College of Meteorology Climatology and Geophysics

Instrumentation-MCG Study Program, State of Meteorology Climatology and Geophysics Agency

References

D. S. Simbeye, “Journal of Information Sciences and Computing Technologies www.scitecresearch.com/journals Industrial Air Pollution Monitoring System Based on Wireless Sensor Networks,” J. Inf. Sci. Comput. Technol., vol. 6, no. 2, 2017, [Online]. Available: www.scitecresearch.com/journals/index.php/jisct

M. T. Jacob et al., “Low-cost air quality monitoring system design and comparative analysis with a conventional method,” Int. J. Energy Environ. Eng., vol. 12, no. 4, pp. 873–884, Dec. 2021, doi: 10.1007/s40095-021-00415-y.

G. C. M. Meijer et al., “Performance analysis of parallel programming models for C++,” Sensors, vol. 6, no. 2, pp. 873–884, Dec. 2021, doi: 10.5121/ijcacs.2016.1203.

L. Zhao, W. Wu, and S. Li, “Design and Implementation of an IoT-Based Indoor Air Quality Detector With Multiple Communication Interfaces,” IEEE Internet Things J., vol. 6, no. 6, pp. 9621–9632, Dec. 2019, doi: 10.1109/JIOT.2019.2930191.

A. Mohanty, A. Alam, R. Sarkar, and S. Chaudhury, “Design and Development of Digital Game-Based Learning Software for Incorporation into School Syllabus and Curriculum Transaction Design Engineering Design and Development of Digital Game-Based Learning Software for Incorporation into School Syllabus and C”, [Online]. Available: https://www.researchgate.net/publication/355490495

H. Y. Miao, C. T. Yang, E. Kristiani, H. Fathoni, Y. S. Lin, and C. Y. Chen, “On Construction of a Campus Outdoor Air and Water Quality Monitoring System Using LoRaWAN,” Appl. Sci., vol. 12, no. 10, May 2022, doi: 10.3390/app12105018.

S. Tselegkaridis and T. Sapounidis, “Exploring Students’ Hands-On Performance, Attitudes, and Usability with Arduino Modular Boards,” Inf., vol. 15, no. 2, Feb. 2024, doi: 10.3390/info15020088.

V. K. Singh, P. Singh, M. Karmakar, J. Leta, and P. Mayr, “The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis,” Scientometrics, vol. 126, no. 6, pp. 5113–5142, Jun. 2021, doi: 10.1007/s11192-021-03948-5.

H. Zhang and R. Srinivasan, “A systematic review of air quality sensors, guidelines, and measurement studies for indoor air quality management,” Sustain., vol. 12, no. 21, pp. 1–40, 2020, doi: 10.3390/su12219045.

M. Anitha and L. S. Kumar, “Development of an IoT-Enabled Air Pollution Monitoring and Air Purifier System,” Mapan - J. Metrol. Soc. India, vol. 38, no. 3, pp. 669–688, 2023, doi: 10.1007/s12647-023-00660-y.

A. K. Hassan, M. S. Saraya, A. M. T. Ali-Eldin, and M. M. Abdelsalam, “Low-Cost IoT Air Quality Monitoring Station Using Cloud Platform and Blockchain Technology,” Appl. Sci., vol. 14, no. 13, 2024, doi: 10.3390/app14135774.

A. Fulati, S. M. Usman Ali, M. Riaz, G. Amin, O. Nur, and M. Willander, “Miniaturized pH sensors based on zinc oxide nanotubes/nanorods,” Sensors, vol. 9, no. 11, pp. 8911–8923, Nov. 2009, doi: 10.3390/s91108911.

L. Russi, P. Guidorzi, B. Pulvirenti, D. Aguiari, G. Pau, and G. Semprini, “Air Quality and Comfort Characterisation within an Electric Vehicle Cabin in Heating and Cooling Operations†,” Sensors, vol. 22, no. 2, Jan. 2022, doi: 10.3390/s22020543.